An empirical study of Android Wear user complaints

Wearable apps are becoming increasingly popular in recent years. Nevertheless, to date, very few studies have examined the issues that wearable apps face. Prior studies showed that user reviews contain a plethora of insights that can be used to understand quality issues and help developers build better quality mobile apps. Therefore, in this paper, we mine user reviews in order to understand the user complaints about wearable apps. We manually sample and categorize 2,667 reviews from 19 Android wearable apps. Additionally, we examine the replies posted by developers in response to user complaints. This allows us to determine the type of complaints that developers care about the most, and to identify problems that despite being important to users, do not receive a proper response from developers. Our findings indicate that the most frequent complaints are related to Functional Errors, Cost, and Lack of Functionality, whereas the most negatively impacting complaints are related to Installation Problems, Device Compatibility, and Privacy & Ethical Issues. We also find that developers mostly reply to complaints related to Privacy & Ethical Issues, Performance Issues, and notification related issues. Furthermore, we observe that when developers reply, they tend to provide a solution, request more details, or let the user know that they are working on a solution. Lastly, we compare our findings on wearable apps with the study done by Khalid et al. (2015) on handheld devices. From this, we find that some complaint types that appear in handheld apps also appear in wearable apps; though wearable apps have unique issues related to Lack of Functionality, Installation Problems, Connection & Sync, Spam Notifications, and Missing Notifications. Our results highlight the issues that users of wearable apps face the most, and the issues to which developers should pay additional attention to due to their negative impact.     

Intensified iterative deepening A* with application to job shop scheduling

We propose a novel, exact any-time search strategy that combines iterative deepening \(\text{ A}\) * ( \(\text{ IDA}\) *) with depth-first search and we consider the job shop scheduling problem with makespan minimization as a test bed. The combination of these search strategies is done so that limited depth-first searches are issued from some of the states distributed along the frontier reached by \(\text{ IDA}\) * in each iteration. In this way, a proper equilibrium between intensification and diversification search effort is achieved while the algorithm keeps the capability of obtaining tight lower bounds. To evaluate the proposed strategy and to compare it with other methods, we have conducted an experimental study involving a number of conventional benchmarks with instances of various sizes. The results of these experiments show that the proposed algorithm takes less time than other methods in reaching optimal solutions for small and medium-size instances, and that it is quite competitive in reaching good solutions and good lower bounds for the instances that cannot be optimally solved.     

Loop-closing: A typicality approach

Loop-closing has long been identified as a critical issue when building maps from local observations. Topological mapping methods abstract the problem of how loops are closed from the problem of how to determine the metrical layout of places in the map and how to deal with noisy sensors.The typicality problem refers to the identification of new classes in a general classification context. This typicality concept is used in this paper to help a robot acquire a topological representation of the environment during its exploration phase. The problem is addressed using the INCA statistic which follows a distance-based approach.In this paper we describe a place recognition approach based on match testing by means of the INCA test. We describe the theoretical basis of the approach and present extensive experimental results performed in both a simulated and a real robot-environment system; Behaviour Based philosophy is used to construct the whole control architecture. Obtained results show the validity of the approach.     

Iterative method based on CFD data for the assessment of seakeeping control effects,considering amplitude and rate saturation

An iterative procedure for the frequency domain evaluation of control effects in nonlinear loops is introduced. The article focuses on ship seakeeping control, to attenuate ship motions. There is no model of the ship, only CFD tabulated data. The proposed procedure could be used for design or empirical tuning of a controller. The actuators have angle and rate limits. In the case of a ship, the actuators are submerged moving wings: flaps, fins and T‐foil. The control evaluation procedure uses a describing function approach. The paper considers amplitude and rate saturation in series. The results are validated with experiments using a scaled ship in a towing tank facility. Copyright © 2010 John Wiley & Sons, Ltd.     

Implementation and performance evaluation of a payment protocol for vehicular ad hoc networks

Vehicular ad hoc networks (VANETs) are envisioned to support the development of a wide range of attractive applications such as payment services which require the design of payment systems that satisfy additional requirements associated with VANETs. The wide range of scenarios (with or without connectivity restriction) arising from vehicle-to-vehicle and vehicle-to-roadside communications have opened up new security challenges which must be considered by payment system designers to achieve the same security capabilities independent of the scenario where payment occurs. We propose and implement a new payment protocol (called KCMS-VAN protocol) for those scenarios where the client cannot communicate directly with the credit card issuer (the client’s financial institution) for authentication. Our proposed protocol uses symmetric-key operations which require low computational power and can be processed much faster than asymmetric ones. We also present a performance evaluation of the proposed payment protocol and the results obtained demonstrate that optimal performance can be achieved with it.     

Nanomanipulation by Atomic Force Microscopy

The linking of our macroscopic world to the nanoscopic world of single molecules, nanoparticles and functional nanostructures is a technological challenge. Researchers in nanobiotechnology face the questions “How extract and analyze a single nano‐object?”, “How to pick and place nano‐objects?” and “How to prototype a functional nanostructure?”. Here, nanomanipulation by an atomic force microscope (AFM) in combination with optical manipulation by a microbeam laser offers a practicable solution. In such a system, the AFM can be operated as a nanorobot for manipulation purposes allowing for nanometer precision. A contact free manipulation is achieved by the laser microbeam.     

Competing agents in agent-mediated institutions

Social processes and agent interaction always take place in a specific context. A school of thought in social studies analyses them in the framework of institutions. We present in this paper the notion ofagentmediated institutions and show how it is relevant for multi-agent systems (MAS) in general and, more specifically, for MAS that include human agents and software agents involved in socioeconomic interactions. We show how the social interactions of human and software agents taking place in the Cohabited Mixed-Reality Information Spaces (COMRIS) project can be described as such an institution, the Conference Centre institution.     

Fusing multiple image transformations and a thermal sensor with kinect to improve person detection ability

This paper proposes a novel approach to combine data from multiple low-cost sensors to detect people in a mobile robot. Robust detection of people is a key capability required for robots working in environments with people. Several works have shown the benefits of fusing data from complementary sensors. The Kinect sensor provides a rich data set at a significantly low cost, however, it has some limitations for its use on a mobile platform, mainly that people detection algorithms rely on images captured by a static camera. To cope with these limitations, this work is based on the fusion of Kinect and a thermical sensor (thermopile) mounted on top of a mobile platform. We propose the implementation of an evolutionary selection of sequences of image transformation to detect people through supervised classifiers. Experimental results carried out with a mobile platform in a manufacturing shop floor show that the percentage of wrong classified using only Kinect is drastically reduced with the classification algorithms and with the combination of the three information sources. Extra experiments are presented as well to show the benefits of the image transformation sequence idea here presented.     

Materials for a Reliable Solid‐State Dye Laser at the Red Spectral Edge

In the search to extend the tuning range of solid‐state dye lasers (SSDLs) to the red‐edge spectral region, new photosensitive materials have been designed and synthesized based on six commercial dyes (sulforhodamine B, perylene red, rhodamine 640, LDS698, LDS722, and LDS730) incorporated into different linear, crosslinked, fluorinated, and sililated polymeric matrices. Under transversal pumping at 532 nm, these materials exhibit highly efficient, stable, as well as wavelength‐tunable laser action from the visible‐to‐NIR spectral region (575–750 nm). The lasing performance of the materials doped with perylene and xanthene dyes is, to the best of our knowledge, the highest achieved to date for these chromophores when incorporated into organic, inorganic, or hybrid matrices. Regarding the LDS derivatives, this is the first time that laser action from these dyes in solid‐state media is reported. These particular characteristics have impelled the building of the first prototype SSDL that is compact, versatile, and easy to handle.     

Deactivation and regeneration of hybrid catalysts in the single-step synthesis of dimethyl ether from syngas and CO2

Synthesis of dimethyl ether (DME) has been studied in a single reaction step, from H₂ + CO and H₂ + CO₂, in a fixed bed reactor on CuO-ZnO-Al₂O₃/γ-Al₂O₃ and CuO-ZnO-Al₂O₃/NaHZSM-5 hybrid catalysts. It has been proven that water content in the reaction medium (which is higher when CO₂ is fed) contributes to efficiently decreasing deactivation by coke in both catalysts and, consequently, when water is in the feed deactivation is insignificant for 30 h reaction. Nevertheless, water also decreases the activity of γ-Al₂O₃ acid function, due to its high adsorption capacity on the acid sites. Due to its importance in the viability of the industrial process, a study has been carried on the regeneration of both catalysts by coke combustion under controlled conditions (in order to avoid CuO sintering). For this study, the catalysts have been used under severe deactivation conditions. It has been proven that γ-Al₂O₃ does not have a suitable hydrothermal stability and that CuO-ZnO-Al₂O₃/NaHZSM-5 catalyst has an excellent performance and is suitable for using it in uninterrupted reaction–regeneration cycles.